Overview

Dataset statistics

Number of variables21
Number of observations3168
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory519.9 KiB
Average record size in memory168.0 B

Variable types

NUM20
CAT1

Warnings

Dataset has 2 (0.1%) duplicate rows Duplicates
median is highly correlated with meanfreq and 1 other fieldsHigh correlation
meanfreq is highly correlated with median and 2 other fieldsHigh correlation
Q25 is highly correlated with meanfreq and 1 other fieldsHigh correlation
kurt is highly correlated with skewHigh correlation
skew is highly correlated with kurtHigh correlation
centroid is highly correlated with meanfreq and 2 other fieldsHigh correlation
dfrange is highly correlated with maxdomHigh correlation
maxdom is highly correlated with dfrangeHigh correlation
label is uniformly distributed Uniform
mode has 236 (7.4%) zeros Zeros
dfrange has 65 (2.1%) zeros Zeros
modindx has 65 (2.1%) zeros Zeros

Reproduction

Analysis started2021-03-18 11:21:45.608285
Analysis finished2021-03-18 11:22:29.293968
Duration43.69 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

meanfreq
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1809066104
Minimum0.039363343
Maximum0.251123759
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:29.372759image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.039363343
5-th percentile0.1259677736
Q10.1636621367
median0.1848384095
Q30.199146051
95-th percentile0.2291036805
Maximum0.251123759
Range0.211760416
Interquartile range (IQR)0.03548391425

Descriptive statistics

Standard deviation0.0299178379
Coefficient of variation (CV)0.1653772509
Kurtosis0.8051605422
Mean0.1809066104
Median Absolute Deviation (MAD)0.017386913
Skewness-0.6174952713
Sum573.1121417
Variance0.0008950770247
MonotocityNot monotonic
2021-03-18T12:22:29.493436image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.21218991520.1%
 
0.21373237220.1%
 
0.1595107921< 0.1%
 
0.1183386791< 0.1%
 
0.2246305731< 0.1%
 
0.1891393731< 0.1%
 
0.190836911< 0.1%
 
0.2023262641< 0.1%
 
0.0851506141< 0.1%
 
0.2023061621< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.0393633431< 0.1%
 
0.0482540751< 0.1%
 
0.0596454871< 0.1%
 
0.0597809851< 0.1%
 
0.0621823121< 0.1%
 
ValueCountFrequency (%) 
0.2511237591< 0.1%
 
0.2496365931< 0.1%
 
0.2470406841< 0.1%
 
0.2443564471< 0.1%
 
0.2435280371< 0.1%
 

sd
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0571259649
Minimum0.018363242
Maximum0.115273247
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:29.606472image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.018363242
5-th percentile0.03161699645
Q10.04195354575
median0.0591551195
Q30.06702042325
95-th percentile0.0854869509
Maximum0.115273247
Range0.096910005
Interquartile range (IQR)0.0250668775

Descriptive statistics

Standard deviation0.01665224708
Coefficient of variation (CV)0.2915004956
Kurtosis-0.521788949
Mean0.0571259649
Median Absolute Deviation (MAD)0.0124773995
Skewness0.1369163163
Sum180.9750568
Variance0.0002772973329
MonotocityNot monotonic
2021-03-18T12:22:29.722163image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.05770473920.1%
 
0.04319043120.1%
 
0.0360219541< 0.1%
 
0.0766876151< 0.1%
 
0.04596151< 0.1%
 
0.035568311< 0.1%
 
0.0366275761< 0.1%
 
0.0437635771< 0.1%
 
0.0586176881< 0.1%
 
0.0318339161< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.0183632421< 0.1%
 
0.0217819911< 0.1%
 
0.0240016651< 0.1%
 
0.0242689321< 0.1%
 
0.024562791< 0.1%
 
ValueCountFrequency (%) 
0.1152732471< 0.1%
 
0.1145080381< 0.1%
 
0.1126491191< 0.1%
 
0.1112604921< 0.1%
 
0.1112569691< 0.1%
 

median
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3077
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1856206765
Minimum0.010974576
Maximum0.26122449
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:29.831870image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.010974576
5-th percentile0.1163549304
Q10.1695925233
median0.190032379
Q30.210618127
95-th percentile0.2358259825
Maximum0.26122449
Range0.250249914
Interquartile range (IQR)0.04102560375

Descriptive statistics

Standard deviation0.03636014632
Coefficient of variation (CV)0.1958841386
Kurtosis1.629500927
Mean0.1856206765
Median Absolute Deviation (MAD)0.0205781325
Skewness-1.012784663
Sum588.0463031
Variance0.00132206024
MonotocityNot monotonic
2021-03-18T12:22:29.944600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.18666666760.2%
 
0.2240.1%
 
0.21212121230.1%
 
0.20413255430.1%
 
0.18344827630.1%
 
0.179230.1%
 
0.17203155830.1%
 
0.21259259320.1%
 
0.2235820920.1%
 
0.1988405820.1%
 
Other values (3067)313799.0%
 
ValueCountFrequency (%) 
0.0109745761< 0.1%
 
0.0135875221< 0.1%
 
0.015790311< 0.1%
 
0.0269946811< 0.1%
 
0.0293612961< 0.1%
 
ValueCountFrequency (%) 
0.261224491< 0.1%
 
0.2605405411< 0.1%
 
0.257417051< 0.1%
 
0.256983561< 0.1%
 
0.2566312591< 0.1%
 

Q25
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3103
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1404555905
Minimum0.000228758
Maximum0.247346939
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:30.053286image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.000228758
5-th percentile0.04358040915
Q10.111086513
median0.1402864185
Q30.1759387712
95-th percentile0.2152441288
Maximum0.247346939
Range0.247118181
Interquartile range (IQR)0.06485225825

Descriptive statistics

Standard deviation0.04867971586
Coefficient of variation (CV)0.3465843951
Kurtosis0.01833354694
Mean0.1404555905
Median Absolute Deviation (MAD)0.032641123
Skewness-0.4908766852
Sum444.9633106
Variance0.002369714736
MonotocityNot monotonic
2021-03-18T12:22:30.171960image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1460.2%
 
0.17161290330.1%
 
0.20363636430.1%
 
0.10367975420.1%
 
0.13681818220.1%
 
0.16869029320.1%
 
0.12641470920.1%
 
0.18433333320.1%
 
0.14888059720.1%
 
0.22456375820.1%
 
Other values (3093)314299.2%
 
ValueCountFrequency (%) 
0.0002287581< 0.1%
 
0.0002354921< 0.1%
 
0.0002395211< 0.1%
 
0.0002502231< 0.1%
 
0.00026692120.1%
 
ValueCountFrequency (%) 
0.2473469391< 0.1%
 
0.2421235321< 0.1%
 
0.2407351941< 0.1%
 
0.2405416251< 0.1%
 
0.2394594591< 0.1%
 

Q75
Real number (ℝ≥0)

Distinct3034
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2247649614
Minimum0.042946274
Maximum0.273469388
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:30.283661image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.042946274
5-th percentile0.1874137336
Q10.2087466155
median0.225684215
Q30.2436604827
95-th percentile0.2576779698
Maximum0.273469388
Range0.230523114
Interquartile range (IQR)0.03491386725

Descriptive statistics

Standard deviation0.02363927828
Coefficient of variation (CV)0.1051733248
Kurtosis2.981810298
Mean0.2247649614
Median Absolute Deviation (MAD)0.0174242505
Skewness-0.9003108142
Sum712.0553977
Variance0.0005588154777
MonotocityNot monotonic
2021-03-18T12:22:30.390376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.24181818250.2%
 
0.2450.2%
 
0.23333333340.1%
 
0.24540.1%
 
0.22909090940.1%
 
0.24888888940.1%
 
0.2413793140.1%
 
0.24778082230.1%
 
0.20857142930.1%
 
0.24040816330.1%
 
Other values (3024)312998.8%
 
ValueCountFrequency (%) 
0.0429462741< 0.1%
 
0.0582684671< 0.1%
 
0.0759574471< 0.1%
 
0.090193441< 0.1%
 
0.092666191< 0.1%
 
ValueCountFrequency (%) 
0.2734693881< 0.1%
 
0.269851731< 0.1%
 
0.268937331< 0.1%
 
0.2689240511< 0.1%
 
0.2687919941< 0.1%
 

IQR
Real number (ℝ≥0)

Distinct3068
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08430937094
Minimum0.014557731
Maximum0.252225201
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:30.493112image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.014557731
5-th percentile0.02548668955
Q10.0425597345
median0.094279954
Q30.1141750868
95-th percentile0.1563189556
Maximum0.252225201
Range0.23766747
Interquartile range (IQR)0.07161535225

Descriptive statistics

Standard deviation0.04278305438
Coefficient of variation (CV)0.5074531324
Kurtosis-0.448160297
Mean0.08430937094
Median Absolute Deviation (MAD)0.0326551935
Skewness0.2954323561
Sum267.0920871
Variance0.001830389742
MonotocityNot monotonic
2021-03-18T12:22:30.605803image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.04307692340.1%
 
0.10540.1%
 
0.03540.1%
 
0.04666666730.1%
 
0.02488888930.1%
 
0.10584450430.1%
 
0.02333333330.1%
 
0.02654028420.1%
 
0.11452054820.1%
 
0.09837837820.1%
 
Other values (3058)313899.1%
 
ValueCountFrequency (%) 
0.0145577311< 0.1%
 
0.0149224811< 0.1%
 
0.0151111111< 0.1%
 
0.015491011< 0.1%
 
0.0165853661< 0.1%
 
ValueCountFrequency (%) 
0.2522252011< 0.1%
 
0.2487702571< 0.1%
 
0.2481916541< 0.1%
 
0.2459652711< 0.1%
 
0.2453002861< 0.1%
 

skew
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.14016752
Minimum0.141735424
Maximum34.72545327
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:30.713515image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.141735424
5-th percentile1.122956172
Q11.649568695
median2.197100657
Q32.931694047
95-th percentile6.918370951
Maximum34.72545327
Range34.58371785
Interquartile range (IQR)1.282125352

Descriptive statistics

Standard deviation4.240528713
Coefficient of variation (CV)1.350414806
Kurtosis25.36344634
Mean3.14016752
Median Absolute Deviation (MAD)0.6101389845
Skewness4.933314185
Sum9948.050704
Variance17.98208377
MonotocityNot monotonic
2021-03-18T12:22:30.819248image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.11359827820.1%
 
1.86257280920.1%
 
4.1055410561< 0.1%
 
2.3007722761< 0.1%
 
5.816899751< 0.1%
 
1.7333643511< 0.1%
 
2.4508048011< 0.1%
 
2.3856283061< 0.1%
 
2.1381695481< 0.1%
 
34.725453271< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.1417354241< 0.1%
 
0.2850202851< 0.1%
 
0.3260330341< 0.1%
 
0.5295838031< 0.1%
 
0.5487427051< 0.1%
 
ValueCountFrequency (%) 
34.725453271< 0.1%
 
34.537487561< 0.1%
 
33.566337531< 0.1%
 
33.167300361< 0.1%
 
32.350739271< 0.1%
 

kurt
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.56846079
Minimum2.068455491
Maximum1309.612887
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:30.931946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2.068455491
5-th percentile3.755363316
Q15.669546856
median8.318463289
Q313.64890532
95-th percentile75.16913085
Maximum1309.612887
Range1307.544432
Interquartile range (IQR)7.979358461

Descriptive statistics

Standard deviation134.9286612
Coefficient of variation (CV)3.689755005
Kurtosis35.93212929
Mean36.56846079
Median Absolute Deviation (MAD)3.304528941
Skewness5.872586434
Sum115848.8838
Variance18205.74362
MonotocityNot monotonic
2021-03-18T12:22:31.047637image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7.89092698520.1%
 
6.10979028620.1%
 
15.317887971< 0.1%
 
7.296760781< 0.1%
 
10.240151761< 0.1%
 
14.429118831< 0.1%
 
26.986789561< 0.1%
 
6.7087724481< 0.1%
 
60.953241281< 0.1%
 
11.237175771< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
2.0684554911< 0.1%
 
2.2096727721< 0.1%
 
2.2694322231< 0.1%
 
2.2933681< 0.1%
 
2.462561321< 0.1%
 
ValueCountFrequency (%) 
1309.6128871< 0.1%
 
1271.3536281< 0.1%
 
1202.6845521< 0.1%
 
1193.4340661< 0.1%
 
1128.5347821< 0.1%
 

sp.ent
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8951270643
Minimum0.738650686
Maximum0.981996589
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:31.158341image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.738650686
5-th percentile0.8167506624
Q10.8618109808
median0.9017668305
Q30.9287134565
95-th percentile0.9629862749
Maximum0.981996589
Range0.243345903
Interquartile range (IQR)0.06690247575

Descriptive statistics

Standard deviation0.04497951839
Coefficient of variation (CV)0.05024931117
Kurtosis-0.4239247361
Mean0.8951270643
Median Absolute Deviation (MAD)0.032091176
Skewness-0.4309339828
Sum2835.76254
Variance0.002023157075
MonotocityNot monotonic
2021-03-18T12:22:31.272037image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.85971234820.1%
 
0.87766886920.1%
 
0.9629341821< 0.1%
 
0.9178829011< 0.1%
 
0.9162564981< 0.1%
 
0.8786586561< 0.1%
 
0.8762326491< 0.1%
 
0.8430557761< 0.1%
 
0.8489194591< 0.1%
 
0.827280221< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.7386506861< 0.1%
 
0.7475694671< 0.1%
 
0.747694871< 0.1%
 
0.7484950081< 0.1%
 
0.748676381< 0.1%
 
ValueCountFrequency (%) 
0.9819965891< 0.1%
 
0.978481791< 0.1%
 
0.976532971< 0.1%
 
0.9764626191< 0.1%
 
0.9763554611< 0.1%
 

sfm
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4082164114
Minimum0.036876475
Maximum0.842935931
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:31.387727image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.036876475
5-th percentile0.1584453161
Q10.2580405218
median0.3963351565
Q30.533676165
95-th percentile0.7328248347
Maximum0.842935931
Range0.806059456
Interquartile range (IQR)0.2756356432

Descriptive statistics

Standard deviation0.177521105
Coefficient of variation (CV)0.4348700837
Kurtosis-0.8359339026
Mean0.4082164114
Median Absolute Deviation (MAD)0.138087565
Skewness0.339957584
Sum1293.229591
Variance0.03151374272
MonotocityNot monotonic
2021-03-18T12:22:31.499429image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3143976820.1%
 
0.08493436420.1%
 
0.7292191641< 0.1%
 
0.6040204851< 0.1%
 
0.2777782961< 0.1%
 
0.5774780391< 0.1%
 
0.1373753161< 0.1%
 
0.1766448941< 0.1%
 
0.3909798551< 0.1%
 
0.4480477981< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.0368764751< 0.1%
 
0.0802374711< 0.1%
 
0.0809634431< 0.1%
 
0.0822040851< 0.1%
 
0.0826556061< 0.1%
 
ValueCountFrequency (%) 
0.8429359311< 0.1%
 
0.8313468671< 0.1%
 
0.8260991381< 0.1%
 
0.8226706541< 0.1%
 
0.8225866361< 0.1%
 

mode
Real number (ℝ≥0)

ZEROS

Distinct2825
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1652817968
Minimum0
Maximum0.28
Zeros236
Zeros (%)7.4%
Memory size24.8 KiB
2021-03-18T12:22:31.618111image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1180157757
median0.1865986395
Q30.2211041342
95-th percentile0.2608128743
Maximum0.28
Range0.28
Interquartile range (IQR)0.1030883585

Descriptive statistics

Standard deviation0.07720301385
Coefficient of variation (CV)0.4670993138
Kurtosis-0.2559077038
Mean0.1652817968
Median Absolute Deviation (MAD)0.044509883
Skewness-0.8372359938
Sum523.6127321
Variance0.005960305347
MonotocityNot monotonic
2021-03-18T12:22:31.717872image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02367.4%
 
0.28100.3%
 
0.06005361950.2%
 
0.06004765750.2%
 
0.18666666750.2%
 
0.05008797740.1%
 
0.05011424240.1%
 
0.05005586640.1%
 
0.0500598840.1%
 
0.05013333340.1%
 
Other values (2815)288791.1%
 
ValueCountFrequency (%) 
02367.4%
 
0.0007279031< 0.1%
 
0.0007749081< 0.1%
 
0.0008007631< 0.1%
 
0.0008427391< 0.1%
 
ValueCountFrequency (%) 
0.28100.3%
 
0.279703391< 0.1%
 
0.2795851851< 0.1%
 
0.2795229981< 0.1%
 
0.279118111< 0.1%
 

centroid
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1809066104
Minimum0.039363343
Maximum0.251123759
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:31.831978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.039363343
5-th percentile0.1259677736
Q10.1636621367
median0.1848384095
Q30.199146051
95-th percentile0.2291036805
Maximum0.251123759
Range0.211760416
Interquartile range (IQR)0.03548391425

Descriptive statistics

Standard deviation0.0299178379
Coefficient of variation (CV)0.1653772509
Kurtosis0.8051605422
Mean0.1809066104
Median Absolute Deviation (MAD)0.017386913
Skewness-0.6174952713
Sum573.1121417
Variance0.0008950770247
MonotocityNot monotonic
2021-03-18T12:22:31.933707image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.21218991520.1%
 
0.21373237220.1%
 
0.1595107921< 0.1%
 
0.1183386791< 0.1%
 
0.2246305731< 0.1%
 
0.1891393731< 0.1%
 
0.190836911< 0.1%
 
0.2023262641< 0.1%
 
0.0851506141< 0.1%
 
0.2023061621< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.0393633431< 0.1%
 
0.0482540751< 0.1%
 
0.0596454871< 0.1%
 
0.0597809851< 0.1%
 
0.0621823121< 0.1%
 
ValueCountFrequency (%) 
0.2511237591< 0.1%
 
0.2496365931< 0.1%
 
0.2470406841< 0.1%
 
0.2443564471< 0.1%
 
0.2435280371< 0.1%
 

meanfun
Real number (ℝ≥0)

Distinct3166
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1428067343
Minimum0.055565349
Maximum0.237636387
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:32.044534image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.055565349
5-th percentile0.0936270943
Q10.1169984858
median0.140518518
Q30.16958062
95-th percentile0.1934318978
Maximum0.237636387
Range0.182071038
Interquartile range (IQR)0.05258213425

Descriptive statistics

Standard deviation0.03230443258
Coefficient of variation (CV)0.2262108488
Kurtosis-0.85995965
Mean0.1428067343
Median Absolute Deviation (MAD)0.02632417
Skewness0.03914069061
Sum452.4117342
Variance0.001043576364
MonotocityNot monotonic
2021-03-18T12:22:32.153500image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.13366730320.1%
 
0.13994247820.1%
 
0.1536089131< 0.1%
 
0.1375313751< 0.1%
 
0.1521246481< 0.1%
 
0.1594898591< 0.1%
 
0.0990358191< 0.1%
 
0.1140595551< 0.1%
 
0.1180132371< 0.1%
 
0.1358205681< 0.1%
 
Other values (3156)315699.6%
 
ValueCountFrequency (%) 
0.0555653491< 0.1%
 
0.0570452391< 0.1%
 
0.0609657071< 0.1%
 
0.0625416441< 0.1%
 
0.063475181< 0.1%
 
ValueCountFrequency (%) 
0.2376363871< 0.1%
 
0.231135291< 0.1%
 
0.229152531< 0.1%
 
0.2257554711< 0.1%
 
0.2234170491< 0.1%
 

minfun
Real number (ℝ≥0)

Distinct913
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03680180836
Minimum0.009775171
Maximum0.204081633
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:32.272507image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.009775171
5-th percentile0.015794669
Q10.018223235
median0.04610951
Q30.047904192
95-th percentile0.05644147355
Maximum0.204081633
Range0.194306462
Interquartile range (IQR)0.029680957

Descriptive statistics

Standard deviation0.01921995215
Coefficient of variation (CV)0.5222556446
Kurtosis10.75808577
Mean0.03680180836
Median Absolute Deviation (MAD)0.011266304
Skewness1.87800396
Sum116.5881289
Variance0.0003694065605
MonotocityNot monotonic
2021-03-18T12:22:32.377543image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.046920821642.0%
 
0.047105005591.9%
 
0.047012733531.7%
 
0.046966732471.5%
 
0.047058824461.5%
 
0.04729064461.5%
 
0.047151277411.3%
 
0.04719764401.3%
 
0.047384008401.3%
 
0.047477745351.1%
 
Other values (903)269785.1%
 
ValueCountFrequency (%) 
0.0097751711< 0.1%
 
0.0097847361< 0.1%
 
0.009900991< 0.1%
 
0.0099108031< 0.1%
 
0.0101626021< 0.1%
 
ValueCountFrequency (%) 
0.2040816331< 0.1%
 
0.220.1%
 
0.1851851851< 0.1%
 
0.1785714291< 0.1%
 
0.1684210531< 0.1%
 

maxfun
Real number (ℝ≥0)

Distinct123
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2588422457
Minimum0.103092784
Maximum0.279113924
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:32.493505image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.103092784
5-th percentile0.1924698792
Q10.253968254
median0.271186441
Q30.277456647
95-th percentile0.279069767
Maximum0.279113924
Range0.17602114
Interquartile range (IQR)0.023488393

Descriptive statistics

Standard deviation0.03007730937
Coefficient of variation (CV)0.1161993835
Kurtosis5.203917905
Mean0.2588422457
Median Absolute Deviation (MAD)0.007883326
Skewness-2.238534779
Sum820.0122343
Variance0.0009046445387
MonotocityNot monotonic
2021-03-18T12:22:32.602469image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.27906976753216.8%
 
0.27586206946214.6%
 
0.27745664733910.7%
 
0.2711864412357.4%
 
0.2666666671595.0%
 
0.2622950821274.0%
 
0.2742857141073.4%
 
0.251013.2%
 
0.258064516862.7%
 
0.253968254622.0%
 
Other values (113)95830.2%
 
ValueCountFrequency (%) 
0.1030927841< 0.1%
 
0.1052631581< 0.1%
 
0.1086956521< 0.1%
 
0.1111111111< 0.1%
 
0.1123595511< 0.1%
 
ValueCountFrequency (%) 
0.27911392460.2%
 
0.27906976753216.8%
 
0.277777778391.2%
 
0.27745664733910.7%
 
0.27735849130.1%
 

meandom
Real number (ℝ≥0)

Distinct2999
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8292109597
Minimum0.0078125
Maximum2.957682292
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:32.722799image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.0078125
5-th percentile0.1044901209
Q10.4198279747
median0.765794837
Q31.177165905
95-th percentile1.800401651
Maximum2.957682292
Range2.949869792
Interquartile range (IQR)0.7573379298

Descriptive statistics

Standard deviation0.5252050333
Coefficient of variation (CV)0.6333792712
Kurtosis-0.05477253033
Mean0.8292109597
Median Absolute Deviation (MAD)0.374942472
Skewness0.6110224343
Sum2626.94032
Variance0.275840327
MonotocityNot monotonic
2021-03-18T12:22:32.830446image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0078125611.9%
 
0.460937540.1%
 
0.070312540.1%
 
0.195312540.1%
 
0.7187540.1%
 
0.57812530.1%
 
1.007812530.1%
 
0.687530.1%
 
0.257812530.1%
 
1.37239583330.1%
 
Other values (2989)307697.1%
 
ValueCountFrequency (%) 
0.0078125611.9%
 
0.0079787231< 0.1%
 
0.0079900571< 0.1%
 
0.0081845241< 0.1%
 
0.0082465281< 0.1%
 
ValueCountFrequency (%) 
2.9576822921< 0.1%
 
2.8052455361< 0.1%
 
2.6769886361< 0.1%
 
2.5915798611< 0.1%
 
2.5442708331< 0.1%
 

mindom
Real number (ℝ≥0)

Distinct77
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05264704543
Minimum0.004882813
Maximum0.458984375
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:32.949834image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.004882813
5-th percentile0.0078125
Q10.0078125
median0.0234375
Q30.0703125
95-th percentile0.1875
Maximum0.458984375
Range0.454101562
Interquartile range (IQR)0.0625

Descriptive statistics

Standard deviation0.06329947813
Coefficient of variation (CV)1.202336762
Kurtosis2.187585991
Mean0.05264704543
Median Absolute Deviation (MAD)0.015625
Skewness1.661113783
Sum166.7858399
Variance0.004006823932
MonotocityNot monotonic
2021-03-18T12:22:33.353454image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0234375124639.3%
 
0.007812581425.7%
 
0.16406251093.4%
 
0.0546875632.0%
 
0.004882813611.9%
 
0.15625461.5%
 
0.09375461.5%
 
0.2109375451.4%
 
0.0703125421.3%
 
0.015625381.2%
 
Other values (67)65820.8%
 
ValueCountFrequency (%) 
0.004882813611.9%
 
0.007812581425.7%
 
0.01464843820.1%
 
0.015625381.2%
 
0.019531251< 0.1%
 
ValueCountFrequency (%) 
0.4589843751< 0.1%
 
0.449218751< 0.1%
 
0.4003906251< 0.1%
 
0.35156251< 0.1%
 
0.343751< 0.1%
 

maxdom
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1054
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.047276738
Minimum0.0078125
Maximum21.8671875
Zeros0
Zeros (%)0.0%
Memory size24.8 KiB
2021-03-18T12:22:33.463497image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0.0078125
5-th percentile0.3125
Q12.0703125
median4.9921875
Q37.0078125
95-th percentile10.640625
Maximum21.8671875
Range21.859375
Interquartile range (IQR)4.9375

Descriptive statistics

Standard deviation3.521156611
Coefficient of variation (CV)0.6976349415
Kurtosis1.31473759
Mean5.047276738
Median Absolute Deviation (MAD)2.40625
Skewness0.7261889465
Sum15989.77271
Variance12.39854388
MonotocityNot monotonic
2021-03-18T12:22:33.563576image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0078125611.9%
 
7210.7%
 
5.15625160.5%
 
12.0234375150.5%
 
0.786132813130.4%
 
0.5625130.4%
 
0.6953125130.4%
 
5.2734375110.3%
 
0.734375110.3%
 
5.390625110.3%
 
Other values (1044)298394.2%
 
ValueCountFrequency (%) 
0.0078125611.9%
 
0.01562530.1%
 
0.02343751< 0.1%
 
0.05468751< 0.1%
 
0.070312540.1%
 
ValueCountFrequency (%) 
21.86718751< 0.1%
 
21.843751< 0.1%
 
21.7968751< 0.1%
 
21.56251< 0.1%
 
21.5156251< 0.1%
 

dfrange
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1091
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.994629692
Minimum0
Maximum21.84375
Zeros65
Zeros (%)2.1%
Memory size24.8 KiB
2021-03-18T12:22:33.670485image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.265625
Q12.044921875
median4.9453125
Q36.9921875
95-th percentile10.60898437
Maximum21.84375
Range21.84375
Interquartile range (IQR)4.947265625

Descriptive statistics

Standard deviation3.52003912
Coefficient of variation (CV)0.7047647847
Kurtosis1.318012674
Mean4.994629692
Median Absolute Deviation (MAD)2.390625
Skewness0.7282610635
Sum15822.98687
Variance12.39067541
MonotocityNot monotonic
2021-03-18T12:22:33.771469image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0652.1%
 
5.1328125150.5%
 
0.625150.5%
 
0.6796875140.4%
 
3.75130.4%
 
0.6640625120.4%
 
0.640625110.3%
 
8.8828125110.3%
 
0.703125110.3%
 
12100.3%
 
Other values (1081)299194.4%
 
ValueCountFrequency (%) 
0652.1%
 
0.007812530.1%
 
0.0156251< 0.1%
 
0.0195312520.1%
 
0.0244140631< 0.1%
 
ValueCountFrequency (%) 
21.843751< 0.1%
 
21.82031251< 0.1%
 
21.77343751< 0.1%
 
21.53906251< 0.1%
 
21.49218751< 0.1%
 

modindx
Real number (ℝ≥0)

ZEROS

Distinct3079
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1737515061
Minimum0
Maximum0.932374101
Zeros65
Zeros (%)2.1%
Memory size24.8 KiB
2021-03-18T12:22:33.882506image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05774969085
Q10.099765806
median0.1393570225
Q30.2091832492
95-th percentile0.4055158152
Maximum0.932374101
Range0.932374101
Interquartile range (IQR)0.1094174432

Descriptive statistics

Standard deviation0.1194543894
Coefficient of variation (CV)0.6875013176
Kurtosis5.924935219
Mean0.1737515061
Median Absolute Deviation (MAD)0.047418634
Skewness2.064334578
Sum550.4447715
Variance0.01426935115
MonotocityNot monotonic
2021-03-18T12:22:33.994808image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0652.1%
 
0.230.1%
 
0.05263157930.1%
 
0.13333333330.1%
 
0.16666666730.1%
 
0.11764705930.1%
 
0.0520.1%
 
0.24074074120.1%
 
0.13684210520.1%
 
0.19230769220.1%
 
Other values (3069)308097.2%
 
ValueCountFrequency (%) 
0652.1%
 
0.0198813531< 0.1%
 
0.021647511< 0.1%
 
0.0219435741< 0.1%
 
0.0221674881< 0.1%
 
ValueCountFrequency (%) 
0.9323741011< 0.1%
 
0.8795031061< 0.1%
 
0.8577642451< 0.1%
 
0.8547008551< 0.1%
 
0.8444827591< 0.1%
 

label
Categorical

UNIFORM

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.8 KiB
female
1584 
male
1584 
ValueCountFrequency (%) 
female158450.0%
 
male158450.0%
 
2021-03-18T12:22:34.102473image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-18T12:22:34.162558image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:22:34.237480image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length5
Mean length5
Min length4

Interactions

2021-03-18T12:21:49.257504image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.356010image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.446768image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.537032image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.637763image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.726526image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.814291image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:49.910540image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.005302image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.093051image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.191787image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.282544image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.376294image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.478022image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.574763image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.677016image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.771762image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:50.859529image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.016855image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.103831image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.190926image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.280913image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.374039image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.467947image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.564355image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.660148image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.749908image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.847688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:51.942470image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.035261image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.136030image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.230934image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.327909image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.442146image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.544425image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.645217image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.740995image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.840966image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:52.932908image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:21:53.024466image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-03-18T12:22:12.902094image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-03-18T12:22:28.584136image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-03-18T12:22:34.346496image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-03-18T12:22:34.577838image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-03-18T12:22:34.803750image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-03-18T12:22:35.031495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-03-18T12:22:28.784182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-03-18T12:22:29.153211image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabel
00.0597810.0642410.0320270.0150710.0901930.07512212.863462274.4029050.8933690.4919180.0000000.0597810.0842790.0157020.2758620.0078120.0078120.0078120.0000000.000000male
10.0660090.0673100.0402290.0194140.0926660.07325222.423285634.6138550.8921930.5137240.0000000.0660090.1079370.0158260.2500000.0090140.0078120.0546880.0468750.052632male
20.0773160.0838290.0367180.0087010.1319080.12320730.7571551024.9277050.8463890.4789050.0000000.0773160.0987060.0156560.2711860.0079900.0078120.0156250.0078120.046512male
30.1512280.0721110.1580110.0965820.2079550.1113741.2328314.1772960.9633220.7272320.0838780.1512280.0889650.0177980.2500000.2014970.0078120.5625000.5546880.247119male
40.1351200.0791460.1246560.0787200.2060450.1273251.1011744.3337130.9719550.7835680.1042610.1351200.1063980.0169310.2666670.7128120.0078125.4843755.4765620.208274male
50.1327860.0795570.1190900.0679580.2095920.1416341.9325628.3088950.9631810.7383070.1125550.1327860.1101320.0171120.2539680.2982220.0078122.7265622.7187500.125160male
60.1507620.0744630.1601060.0928990.2057180.1128191.5306435.9874980.9675730.7626380.0861970.1507620.1059450.0262300.2666670.4796200.0078125.3125005.3046880.123992male
70.1605140.0767670.1443370.1105320.2319620.1214301.3971564.7666110.9592550.7198580.1283240.1605140.0930520.0177580.1441440.3013390.0078120.5390620.5312500.283937male
80.1422390.0780180.1385870.0882060.2085870.1203811.0997464.0702840.9707230.7709920.2191030.1422390.0967290.0179570.2500000.3364760.0078122.1640622.1562500.148272male
90.1343290.0803500.1214510.0755800.2019570.1263771.1903684.7873100.9752460.8045050.0116990.1343290.1058810.0193000.2622950.3403650.0156254.6953124.6796880.089920male

Last rows

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabel
31580.1836670.0406070.1825340.1564800.2076460.0511662.0541387.4830190.8981380.3139250.1770400.1836670.1492370.0186480.2622950.5503120.0078123.4218753.4140620.166503female
31590.1687940.0858420.1889800.0955580.2402290.1446711.4622485.0779560.9562010.7068610.1844420.1687940.1828630.0206990.2711860.9882810.0078125.8828125.8750000.268617female
31600.1517710.0891470.1859700.0581590.2301990.1720401.2277104.3043540.9620450.7445900.2305470.1517710.2016000.0234260.2666670.7667410.0078124.0078124.0000000.192220female
31610.1706560.0812370.1842770.1130120.2390960.1260841.3782565.4316630.9507500.6585580.1615060.1706560.1984750.1600000.2539680.4140620.0078120.7343750.7265620.336918female
31620.1460230.0925250.1834340.0417470.2243370.1825901.3849815.1189270.9489990.6598250.2154820.1460230.1956400.0395060.2758620.5338540.0078122.9921882.9843750.258924female
31630.1318840.0847340.1537070.0492850.2011440.1518591.7621296.6303830.9629340.7631820.2008360.1318840.1827900.0837700.2622950.8328990.0078124.2109384.2031250.161929female
31640.1162210.0892210.0767580.0427180.2049110.1621930.6937302.5039540.9607160.7095700.0136830.1162210.1889800.0344090.2758620.9098560.0390623.6796883.6406250.277897female
31650.1420560.0957980.1837310.0334240.2243600.1909361.8765026.6045090.9468540.6541960.0080060.1420560.2099180.0395060.2758620.4942710.0078122.9375002.9296880.194759female
31660.1436590.0906280.1849760.0435080.2199430.1764351.5910655.3882980.9504360.6754700.2122020.1436590.1723750.0344830.2500000.7913600.0078123.5937503.5859380.311002female
31670.1655090.0928840.1830440.0700720.2508270.1807561.7050295.7691150.9388290.6015290.2677020.1655090.1856070.0622570.2711860.2270220.0078120.5546880.5468750.350000female

Duplicate rows

Most frequent

meanfreqsdmedianQ25Q75IQRskewkurtsp.entsfmmodecentroidmeanfunminfunmaxfunmeandommindommaxdomdfrangemodindxlabelcount
00.2121900.0431900.2151530.1889570.2456440.0566871.8625736.1097900.8776690.3143980.1889570.2121900.1399420.0471980.2790701.9255510.02343815.60937515.5859380.121344female2
10.2137320.0577050.2425730.1417010.2579840.1162832.1135987.8909270.8597120.0849340.2489780.2137320.1336670.0283190.2539680.8181250.1328124.1640624.0312500.229051male2